Instructions to use patrickvonplaten/german-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/german-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="patrickvonplaten/german-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/german-roberta-base") model = AutoModelForMaskedLM.from_pretrained("patrickvonplaten/german-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
allow flax
3eaeef5
-
correct
adc1500 -
up
ec3cfc6
-
add config
2db17eb -
add tokenizer
3a87bb5 -
initial commit
5c336a6